{"id":"W4393947179","doi":"10.1002/ecy.4301","title":"Density data for <scp>L</scp>ake <scp>E</scp>rie benthic invertebrate assemblages from 1930 to 2019","year":2024,"lang":"en","type":"article","venue":"Ecology","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"U.S. Environmental Protection Agency","keywords":"Benthic zone; Invertebrate; Ecology; Trophic level; Taxon; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914854,0.0003248076,0.000267482,0.00275055,0.0003074358,0.0005569285,0.0004705743,0.0001989023,0.01667956],"category_scores_gemma":[0.001848778,0.0002100356,0.0002777477,0.004480307,0.0001175417,0.0003960144,0.0008310811,0.0003507244,0.008136441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009333498,"about_ca_system_score_gemma":0.001214748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2108077,"about_ca_topic_score_gemma":0.3689541,"domain_scores_codex":[0.9996415,0.0000244012,0.00004356199,0.00008040329,0.0001401253,0.00006991071],"domain_scores_gemma":[0.9980581,0.000125846,0.0003261993,0.0001608738,0.001157793,0.0001710551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000216347,0.00004787274,0.3526311,0.0007451118,0.0001915185,0.0002316104,0.0004905793,0.00126846,0.001478821,0.001016677,0.5937203,0.04796151],"study_design_scores_gemma":[0.00002661342,0.00002059114,0.7524253,0.0001309814,0.00002995316,0.0001007749,0.0003554898,0.0006732617,0.0006809517,0.0000805501,0.2454513,0.00002413797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06166107,0.0002471082,0.0006043476,0.0001320734,0.00003335095,0.0000541375,0.9180304,0.0003218742,0.01891555],"genre_scores_gemma":[0.09494086,0.0004080316,0.001527811,0.0001538742,0.00002581208,0.0002857067,0.8834888,0.0001355164,0.01903358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2108077,"threshold_uncertainty_score":0.4191613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918239494993661,"score_gpt":0.272034402433605,"score_spread":0.2428520074836684,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}